🧬 Evolution feed — how the system is learning
Knowledge → Hypothesis → Experiment → Observation → Reusable learning. Lessons
(decaying), state changes, prediction checks, and alerts, newest first.
new demand evidence: [Notice] Changes in Flood Hazard Determinations
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A FORCED BUYER government mandate is the strongest demand signal available: the buyer has no choice and a deadline.
07-10 03:08
heuristic · conf 0.7955
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Founder now has capital and runway — judge ideas on sellability (reachable paying buyer, differentiation), not 30-day cash; do not penalise modest upfront spend or a 3-6 month ramp.
07-10 03:08
preference · conf 0.8983
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Connected-components clustering on semantic edges chains transitively into hairballs; mutual-kNN plus hairball-splitting yields tight, useful clusters.
07-10 03:08
fact · conf 0.8404
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Federal Register agency feeds must be filtered to type=RULE/PRORULE; Notices (exemption applications, airworthiness directives) are not filing mandates and waste reasoning budget.
07-10 03:08
heuristic · conf 0.7955
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Google Patents XHR is bot-blocked (503) from this server; the official USPTO ODP API (api.uspto.gov, keyed) works.
07-10 03:08
fact · conf 0.8899
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Reddit blocks datacenter IPs on both .json (403) and .rss (intermittent); reliable Reddit ingestion needs OAuth.
07-10 03:08
fact · conf 0.8404
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Lexical (ts_rank) demand retrieval fabricates evidence (matched 45Z clean-fuel credit to a SaaS support job ad); semantic embedding retrieval at cosine>=0.72 discriminates correctly.
07-10 03:08
fact · conf 0.8899
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The engine is capability-rich but demand-blind: capability sources dominate ingestion, so demand_evidence/existing_spend/speed_to_revenue are systematically under-scored. Demand sources are the scoring bottleneck.
07-10 03:08
inference · conf 0.8373
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Government-portal mandate opportunities (regulation compels a class of filers to submit to a portal) fit this founder best — highest founder-fit scores (8-9) and structural forced-buyer demand.
07-10 03:08
heuristic · conf 0.7955